Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing

Zide, Mary; Caswell, Kaitlyn; Peterson, Ellen; Aberle, Denise R.; Bui, Alex A. T.; Arnold, Corey

doi:10.2196/resprot.5122

Cited by 26 publications

(17 citation statements)

References 29 publications

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“…Because Mechanical Turk has been shown to produce data quickly and at a low cost, it has been used extensively to conduct health research. [ 15 – 26 ] It is therefore important to understand any biases within and the external validity of this population. This study found that Turkers were generally younger, of lower socioeconomic status, and less racially/ethnically diverse than the national population.…”

Section: Discussionmentioning

confidence: 99%

Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.?

2018

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IntroductionAmazon’s Mechanical Turk (MTurk) is frequently used to administer health-related surveys and experiments at a low cost, but little is known about its representativeness with regards to health status and behaviors.MethodsA cross-sectional survey comprised of questions from the nationally-representative 2014 Behavioral Risk Factor Surveillance System (BRFSS) and 2014 National Health and Nutrition Examination Survey (NHANES) was administered to 591 MTurk workers and 393 masters in 2016. Health status (asthma, depression, BMI, and general health), health behaviors (influenza vaccination, health insurance, smoking, and physical activity), and demographic characteristics of the two MTurk populations (workers and masters) were compared to each other and, using Poisson regression, to a nationally-representative BRFSS and NHANES samples.ResultsWorkers and master demographics were similar. MTurk users were more likely to be aged under 50 years compared to the national sample (86% vs. 55%) and more likely to complete a college degree than the national sample (50% vs. 26%). Adjusting for covariates, MTurk users were less likely to be vaccinated for influenza, to smoke, to have asthma, to self-report being in excellent or very good health, to exercise, and have health insurance but over twice as likely to screen positive for depression relative to a national sample. Results were fairly consistent among different age groups.ConclusionsMTurk workers are not a generalizable population with regards to health status and behaviors; deviations did not follow a trend. Appropriate health-related uses for MTurk and ways to improve upon the generalizability of MTurk health studies are proposed.

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Section: Discussionmentioning

confidence: 99%

Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.?

2018

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“…They also serve as a 2‐way communication tool that allows patients to report to their care providers any unresolved or new symptoms and request medication refills, whereas the providers can answer patients' questions and send reminders of preventive screening tests and vaccinations, scheduled procedures or studies, and upcoming outpatient appointments. One survey showed a trend of chronically ill patients having a more positive view of patient portals [41], but more studies are required to prove their value in enhancing patient communication, education and empowerment, and their potential in reducing miscommunication and unnecessary patient visits.…”

Section: Current Statementioning

confidence: 99%

Consumer Mobile Health Apps: Current State, Barriers, and Future Directions

Kao

Liebovitz

2017

PM&R

291

211

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This paper discusses the current state, barriers, and future directions of consumer-facing applications (apps). There are currently more than 165,000 mobile health apps publicly available in major app stores, the vast majority of which are designed for patients. The top 2 categories are wellness management and disease management apps, whereas other categories include self-diagnosis, medication reminder, and electronic patient portal apps. Apps specific to physical medicine and rehabilitation also are reviewed. These apps have the potential to provide low-cost, around-the-clock access to high-quality, evidence-based health information to end users on a global scale. However, they have not yet lived up to their potential due to multiple barriers, including lack of regulatory oversight, limited evidence-based literature, and concerns of privacy and security. The future directions may consist of improving data integration into the health care system, an interoperable app platform allowing access to electronic health record data, cloud-based personal health record across health care networks, and increasing app prescription by health care providers. For consumer mobile health apps to fully contribute value to health care delivery and chronic disease management, all stakeholders within the ecosystem must collaborate to overcome the significant barriers.

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“…Zide M, et al 2016 [45] The effect of patient health literacy in radiology on perceived portal usability.…”

Section: Yes Data Analysis 1670 Doctors and Non-doctorsmentioning

confidence: 99%

Full Radiology Report through Patient Web Portal: A Literature Review

Alarifi

Patrick

Jabour³

et al. 2020

IJERPH

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The aim of this study discusses the gap between the patient web portal and providing a full radiology report. A literature review was conducted to examine radiologists, physicians, and patients’ opinions and preferences of providing patients with online access radiology reports. The databases searched were Pubmed and Google Scholar and the initial search included 927 studies. After review, 47 studies were included in the study. We identified several themes, including patients’ understanding of radiology reports and radiological images, as well as the need for decreasing the turnaround time for reports availability. The existing radiology reports written for physicians are not suited for patients. Further studies are needed to guide and inform the design of patient friendly radiology reports. One of the ways that can be used to fill the gap between patients and radiology reports is using social media sites.

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Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing

Cited by 26 publications

References 29 publications

Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.?

Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.?

Consumer Mobile Health Apps: Current State, Barriers, and Future Directions

Full Radiology Report through Patient Web Portal: A Literature Review

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